修复数据缺省值问题

models/rank/data/preprocess.py

@@ -92,8 +92,9 @@ class DataProcess():
         
         # 去除重复值和填补缺失值
         self._order_data.drop_duplicates(inplace=True)
-        self._order_data[remaining_cols.drop(col_all_missing)].fillna(0, inplace=True)
-        self._order_data = self._order_data.infer_objects(copy=False)
+        self._order_data[remaining_cols.drop(col_all_missing)] = self._order_data[remaining_cols.drop(col_all_missing)].fillna(0)
+        self._order_data = self._order_data.infer_objects(copy=False) 
+        
         
     def _clean_shopping_data(self):
         """处理商圈数据缺省值"""
@@ -122,7 +123,7 @@ class DataProcess():
     def _generate_pos_train_data(self):
         pos_data = self._generate_original_train_data(is_pos=True)
         pos_data.dropna(subset=['YLT_TURNOVER_RATE'], inplace=True)
-        pos_data[OrderConfig.POSFEATURES].fillna(0, inplace=True)
+        pos_data[OrderConfig.POSFEATURES] = pos_data[OrderConfig.POSFEATURES].fillna(0)
         pos_data = pos_data.infer_objects(copy=False)
         return pos_data